AI coding tools have dramatically accelerated the pace of development, and the bottleneck in the software

development lifecycle has shifted to code validation and testing. However, the conventional tools and

workflows that QA teams have relied on were not designed for a world where a single engineer can

generate thousands of lines of code in a day.

SmartBair is a software quality platform spanning test automation, API lifecycle management,

and observability.

The company recently launched an AI-native QA platform called BearQ,

which deploys autonomous agents that explore web applications, learns their structure and behavior,

and authors and maintains test cases continuously.

Fitz Nolan is the VP of AI and Architecture at SmartBare and the co-founder of Reflect,

which is a web testing platform acquired by SmartBair in 2024.

In this episode, Fitz joins Kevin Ball to discuss

why web-U.I. Testing is uniquely challenging, how Bearcue's multi-agent architecture

coordinates exploration and testing, why test data management becomes a hard distributed

systems problem at scale, and what agentic development means for the

future of QA. Kevin Ball, or K Ball, is the vice president of engineering at Mento and an

independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies,

founded the San Diego JavaScript Meetup, and organizes the AI

inaction discussion group through latent space.

Check out the show notes to follow KBall on Twitter or LinkedIn or visit his website,

kball.l. LLC. Fitz, welcome to the show.

Kevin, thank you so much for having me.

...